Spoken Language Identification using Frame Based Entropy Measures
2011 (English)In: TMH-QPSR, ISSN 1104-5787, Vol. 51, no 1, 69-72 p.Article in journal (Other academic) Published
This paper presents a real-time method for Spoken Language Identification based on the entropy of the posterior probabilities of language specific phoneme recognisers. Entropy based discriminant functions computed on short speech segments are used to compare the model fit to a specific set of observations and language identification is performed as a model selection task. The experiments, performed on a closed set of four Germanic languages on the SpeechDat telephone speech recordings, give 95% accuracy of the method for 10 seconds long speech utterances and 99% accuracy for 20 seconds long utterances.
Place, publisher, year, edition, pages
2011. Vol. 51, no 1, 69-72 p.
Computer Science Language Technology (Computational Linguistics)
IdentifiersURN: urn:nbn:se:kth:diva-52215OAI: oai:DiVA.org:kth-52215DiVA: diva2:465511
tmh_import_11_12_14. QC 201112162011-12-142011-12-142015-10-12Bibliographically approved